Name
Abstract | ||
|---|---|---|
We provide regression analysis-based statistical models to explain the usage of wireless spectrum across four mid-size US cities in four frequency bands. Specifically, the variations in spectrum occupancy across space, time, and frequency are investigated and compared between different sites within the city as well as with other cities. By applying the mixed-effects models, several conclusions are drawn that give the occupancy percentage and the ON time duration of the licensed signal transmission as a function of several predictor variables. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1155/2010/203178 | EURASIP J. Wireless Comm. and Networking |
Keywords | Field | DocType |
wireless spectrum occupancy,linear mixed-effects model,frequency band,predictor variable,mixed-effects model,spectrum occupancy,time duration,licensed signal transmission,mid-size us city,different site,wireless spectrum,occupancy percentage,electrical and computer engineering,mixed effects model,spectrum,regression analysis,space time,statistical model | Transmission (telecommunications),Wireless,Regression analysis,Computer science,Spectrum occupancy,Mixed model,Occupancy,Statistical model,Statistics,Cognitive radio | Journal |
Volume | Issue | ISSN |
2010, | 1 | 1687-1499 |
Citations | PageRank | References |
3 | 0.43 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Srikanth Pagadarai | 1 | 81 | 4.96 |
| Alexander M. Wyglinski | 2 | 375 | 48.05 |